Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, United States.
Comput Methods Programs Biomed. 2010 May;98(2):214-9. doi: 10.1016/j.cmpb.2009.12.002. Epub 2010 Jan 15.
The coefficients of individual agreement (CIAs), which are based on the ratio of the intra- and inter-observer disagreement, provide a general approach for evaluating agreement between two fixed methods of measurements or human observers. In this paper, programs in both SAS and R are presented for estimation of the CIAs between two observers with quantitative or binary measurements. A detailed illustration of the computations, macro variable definitions, input and output for the SAS and R programs are also included in the text. The programs provide estimations of CIAs, their standard errors as well as confidence intervals, for the cases with or without a reference method. Data from a carotid stenosis screening study is used as an example of quantitative measurements. Data from a study involving the evaluation of mammograms by ten radiologists is used to illustrate a binary data example.
个体一致性系数（CIA）基于观察者内和观察者间差异的比率，为评估两种固定测量方法或人类观察者之间的一致性提供了一种通用方法。本文介绍了使用 SAS 和 R 程序估计具有定量或二分类测量的两个观察者之间的 CIA 的方法。本文还包括了计算、宏变量定义、SAS 和 R 程序的输入和输出的详细说明。这些程序提供了有或没有参考方法的情况下 CIA 的估计值及其标准误差和置信区间。颈动脉狭窄筛查研究的数据被用作定量测量的示例。涉及十位放射科医生评估乳房 X 光片的研究的数据用于说明二分类数据示例。
